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		<citationkey>Miranda::PiClLa</citationkey>
		<title>AI4LUC: pixel-based classification of land use and land cover via deep learning and a cerrado image dataset</title>
		<alternatetitle>AI4LUC: classificação baseada em pixels de uso e cobertura da Terra através de aprendizado profundo e um conjunto de imagens sobre o Cerrado</alternatetitle>
		<course>CAP-COMP-DIPGR-INPE-MCTI-GOV-BR</course>
		<date>2023/03/28</date>
		<thesistype>Dissertação (Mestrado em Computação Aplicada)</thesistype>
		<secondarytype>TDI</secondarytype>
		<numberofpages>101</numberofpages>
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		<author>Miranda, Mateus de Souza,</author>
		<committee>Santiago Júnior, Valdivino Alexandre de,</committee>
		<committee>Körting, Thales Sehn,</committee>
		<committee>Shiguemori, Elcio,</committee>
		<committee>Escada, Maria Isabel Sobral,</committee>
		<committee>Papa, João Paulo,</committee>
		<e-mailaddress>mateusmirandaa2@hotmail.com</e-mailaddress>
		<university>Instituto Nacional de Pesquisas Espaciais (INPE)</university>
		<city>São José dos Campos</city>
		<transferableflag>1</transferableflag>
		<keywords>classificação de imagem baseada em pixels, rede neural convolucional, cerrado, sensoriamento remoto, CBERS-4A, image pixel-based classification, convolutional neural network, cerrado, remote sensing, CBERS-4A.</keywords>
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